io.github.yugui923/db-connect-mcp

Multi-database MCP server for PostgreSQL, MySQL, and ClickHouse

capital.hove/read-only-local-postgres-mcp-server

MCP server for read-only PostgreSQL database queries in Claude Desktop

io.github.neverinfamous/postgres-mcp

PostgreSQL MCP server with 203 tools, connection pooling, HTTP/SSE, OAuth 2.1, and tool filtering

io.github.enessari/metabase-ai-assistant

MCP Server for Metabase - 111 tools for SQL generation, dashboards & PostgreSQL

io.github.pgEdge/postgres-mcp

Enterprise PostgreSQL MCP server with NL queries, hybrid search (pgvector+BM25), and web UI

io.github.atarkowska/fastmcp-sqltools

A MCP server provides SQL database access with support for PostgreSQL, MySQL, and SQLite.

io.github.pilat/mcp-datalink

MCP server for secure database access (PostgreSQL, MySQL, SQLite)

io.github.verygoodplugins/mcp-local-wp

WordPress database access via Local by Flywheel. Execute read-only MySQL queries and inspect schema.

io.github.cybeleri/database-admin

Database admin MCP: schema inspection, query optimization for PostgreSQL and MySQL

io.github.neverinfamous/mysql-mcp

Enterprise-grade MySQL MCP Server with OAuth 2.0, 106 tools, and Docker deployment

io.github.isdaniel/pgtuner_mcp

provides AI-powered PostgreSQL performance tuning capabilities.

io.github.neverinfamous/postgres-mcp-server

Enterprise PostgreSQL MCP server with 63 tools, 10 resources, 10 prompts for AI-native operations

io.github.NeerajG03/vector-memory

Semantic document memory using Redis vector store. Save and recall files with natural language.

capital.hove/read-only-mysql-mcp-server

MCP server for read-only MySQL database queries in Claude Desktop

io.prisma/mcp

MCP server for managing Prisma Postgres.

io.github.martymarkenson/postgres-connector

MCP server for querying PostgreSQL databases

ai.smithery/cpretzinger-ai-assistant-simple

UPDATED 9/1/2025! NEW TOOLS! Use the Redis Stream tools with n8n MCP Client Node for use anywhere!…

ai.waystation/postgres

Connect to your PostgreSQL database to query data and schemas.

io.github.omnigent-ai/omnigent/docker

Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack for a new platform.

io.github.HoangNguyen0403/agent-skills-standard/database-postgresql

Apply PostgreSQL standards for migrations, indexing, transactions, and ORM boundaries. Use when editing entities, Prisma schema, migrations, RLS, or query-performance work for PostgreSQL.

io.github.HoangNguyen0403/agent-skills-standard/database-redis

Optimize Redis as cache and coordination infrastructure with TTL, eviction, and latency-aware key design. Use when implementing Redis caching, key invalidation, or Redis performance work.

io.github.github/awesome-copilot/reviewing-oracle-to-postgres-migration

Identifies Oracle-to-PostgreSQL migration risks by cross-referencing code against known behavioral differences (empty strings, refcursors, type coercion, sorting/collations, UNION ALL planner risks, materialized-view refresh requirements, timestamps, concurrent transactions, etc.). Use when planning a database migration, reviewing migration artifacts, or validating that integration tests cover Oracle/PostgreSQL differences.

io.github.modu-ai/moai-adk/moai-domain-database

Database specialist covering PostgreSQL, MongoDB, Redis, Oracle, and cloud database platforms (Neon, Supabase, Firestore). Use for schema design, query optimization, indexing strategies, data modeling, or cloud database selection. Cloud vendor guide absorbed from moai-platform-database-cloud.

io.github.mohitagw15856/pm-claude-skills/sql-query-explainer

Explains, optimises, writes, and documents SQL queries. Use when asked to explain a SQL query, optimise slow SQL, translate SQL to plain English for non-technical stakeholders, write a query from a natural language description, or produce query documentation. Produces plain-English explanations, annotated optimised queries, or a data dictionary covering output shape, assumptions, and known limitations. Works across PostgreSQL, MySQL, BigQuery, Snowflake, and standard SQL.